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» An extension of the ICA model using latent variables
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PAMI
1998
128views more  PAMI 1998»
13 years 8 months ago
A Hierarchical Latent Variable Model for Data Visualization
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
Christopher M. Bishop, Michael E. Tipping
CVPR
2008
IEEE
14 years 10 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
ARCS
2004
Springer
14 years 2 months ago
Heterogenous Data Fusion via a Probabilistic Latent-Variable Model
In a pervasive computing environment, one is facing the problem of handling heterogeneous data from different sources, transmitted over heterogeneous channels and presented on het...
Kai Yu, Volker Tresp
ACL
2011
13 years 10 days ago
Semi-supervised latent variable models for sentence-level sentiment analysis
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Oscar Täckström, Ryan T. McDonald
CORR
2012
Springer
184views Education» more  CORR 2012»
12 years 4 months ago
Noisy-OR Models with Latent Confounding
Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting late...
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoy...